Class of xbb 1.5, “the kraken” “A thorn of experience is worth a wilderness of warning.” U can fool some of the people all of the time…” 🙏 to those not fooled
Joined January 2023
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NotOstriching retweeted
Study: Bedroom air filter use = "8% reduction in daily glucose variability & smaller glucose rises following breakfast
...raise the possibility that indoor air quality is a modifiable part of cardiometabolic health...in areas with higher fine-particle pollution"
1/2
NotOstriching retweeted
my aunt who works in a hospital in the US got C0vid and is being asked to go back to work in the hospital 🫠
NotOstriching retweeted
NIH is failing EVERYONE with Long Covid.
On purpose.
NIH is failing our kids with Long COVID
roottobloompediatrics.com/bl…
NotOstriching retweeted
Is it time to bring your own HEPA to hospital?
I would.
#BYOH
In China, some people bring an AirFanta 5Pro with them when they are hospitalized.
Here is the review:
"I sincerely recommend that every family keep a 5Pro on hand, because it’s a lifesaver for keeping a hospitalized family member from catching respiratory infections. It’s very convenient to carry—you can just pick it up and take it to the hospital room to assemble. It’s also light enough that a woman can carry it with one hand without any problem. With the curtains drawn around the hospital bed, the 5pro can bring PM2.5 down to single digits, so the patient and the family member staying with them can take off their masks with peace of mind to eat, drink, and sleep. It runs very quietly—even placed at the bedside, it’s about as noisy as a small portable fan. Spending a night in a hospital is something the vast majority of people will encounter at least once in their lifetime, so I suggest preparing early for peace of mind."
NotOstriching retweeted
J'espère qu'il y a quelque chose dans l'Avenir en Commun, le programme de @JLMelenchon, sur la question du COVID, car le problème n'est toujours pas réglé ! La proposition de loi de @abomangoli me donne un peu d'espoir, mais tout reste à faire ! (via @MeteoCOVIDApp)
NotOstriching retweeted
6 months in Germany! 🇩🇪🔬❤️
Months of hard work & new challenges! And next week, I'll be presenting our first results at a conference!
What if SARS-CoV-2 leaves more behind than we think?
Millions of people are still living with #LongCOVID, and we keep fighting to understand why.
NotOstriching retweeted
US nationwide Flu positivity up 11 weeks in a row to 15.6% test positivity!
US NSSP test positivity data shows COVID rose in the US nationwide and in 7 states by rate and/or net cases.
The US and 7 states are higher than 2024-2025 levels, and NY is higher than 2025 levels.
Flu positivity surges the most since Dec 7-13 to the highest since Jan 4-10! in NY.
Texas is also highest since Jan 4-10.
Flu positivity and/or cases rose nationwide and in 10 states. Levels are higher than prior years as shown
NotOstriching retweeted
If you are not angry about the miserable state of so-called #LongCovid "research" read this. If you are already angry, you should read it, too.
The NIH RECOVER Long Covid cohort = 13,501 pwLC that they've been tracking ~52 symptoms on for years. That is who they could've run this data analysis on. But they decided to ignore the vast majority of Long Covid patients and their data...except for ~1k pwLC who fit an 11 narrative-crafting symptoms "subset".
Out of those 13,501 pwLC, RECOVER excluded Long Covid patient records as follows:
6,304 weren't included either because: the patients were dead (144 known out 3,149 withdrawn participants detailed in Berry 2026, probably a severe undercount); or they were first & second wavers (they didn't want them in this study...why?); or they were otherwise withdrawn; or bc they missed their 12 month appt. 14 were reinfected, bye bye.
That left 7,183 pwLC records "eligible" for this analysis. NIH excluded 6,164 of them bc those ppl with LONG COVID didn't fit their cherry-picked, "mecfs like" 11 symptoms profile.
That left 1,019 pwLC records to analyze, except 905 of these were known to be gone by year 3 before they even began any of this. Gone for reasons NIH RECOVER not shockingly (if you understand any of this) didn't disclose in this paper (except one death) because they wanted to use Kaplan-Meier on them.
The entire thing is extremely manipulated, from start to finish.
NotOstriching retweeted
This was rare until COVID. Now it is not. How many GPs are asking kids & parents if they’d had a ‘cold’ in the run up to shingles? Our kids are being force infected with SARS-CoV2 in schools & there is silence. Do parents know we are in a Covid wave now?
NotOstriching retweeted
The petition is ready. I am having some friends make sure it's good and does not need any final edits. I made sure to add references. I kept it simple and stayed on point. I will put it out tomorrow morning or tonight. People must be held accountable for contributing to our collective burial mound.
#LongCovidZombiesUnite
#LongCovid
#BadStudyDesigns
NotOstriching retweeted
There is a vital reason we push back on every single badly designed study!
This is institutional self-preservation. The NIH RECOVER program functions less like scientific discovery and more like a "Cover Your Ass" initiative. It's shielding systems from liability after presiding over millions of preventable deaths and hundreds of millions of chronically disabled people.
The NIH RECOVER Long Covid cohort = 13,501 pwLC that they've been tracking ~52 symptoms on for years. That is who they could've run this data analysis on. But they decided to ignore the vast majority of Long Covid patients and their data...except for ~1k pwLC who fit an 11 narrative-crafting symptoms "subset".
Out of those 13,501 pwLC, RECOVER excluded Long Covid patient records as follows:
6,304 weren't included either because: the patients were dead (144 known out 3,149 withdrawn participants detailed in Berry 2026, probably a severe undercount); or they were first & second wavers (they didn't want them in this study...why?); or they were otherwise withdrawn; or bc they missed their 12 month appt. 14 were reinfected, bye bye.
That left 7,183 pwLC records "eligible" for this analysis. NIH excluded 6,164 of them bc those ppl with LONG COVID didn't fit their cherry-picked, "mecfs like" 11 symptoms profile.
That left 1,019 pwLC records to analyze, except 905 of these were known to be gone by year 3 before they even began any of this. Gone for reasons NIH RECOVER not shockingly (if you understand any of this) didn't disclose in this paper (except one death) because they wanted to use Kaplan-Meier on them.
The entire thing is extremely manipulated, from start to finish.
NotOstriching retweeted
El informe también recoge que el 7,2% de los pacientes hospitalizados por esta enfermedad ha fallecido durante el periodo analizado.
NotOstriching retweeted
En cuanto a la gravedad, los datos acumulados desde el inicio de la temporada muestran que el 23,4% de los pacientes hospitalizados por covid ha desarrollado neumonía, mientras que el 2,2% ha necesitado ingresar en una unidad de cuidados intensivos (UCI).
NotOstriching retweeted
La tasa estimada de hospitalización por coronavirus ha pasado de 0,4 a 1,4 casos por cada 100.000 habitantes, lo que supone un crecimiento del 250% respecto al mismo periodo del año anterior.
elconfidencialdigital.com/ar…
NotOstriching retweeted
The NIH RECOVER Long Covid cohort = 13,501 pwLC that they've been tracking ~52 symptoms on for years. That is who they could've run this data analysis on. But they decided to ignore the vast majority of Long Covid patients and their data...except for ~1k pwLC who fit an 11 narrative-crafting symptoms "subset".
Out of those 13,501 pwLC, RECOVER excluded Long Covid patient records as follows:
6,304 weren't included either because: the patients were dead (144 known out 3,149 withdrawn participants detailed in Berry 2026, probably a severe undercount); or they were first & second wavers (they didn't want them in this study...why?); or they were otherwise withdrawn; or bc they missed their 12 month appt. 14 were reinfected, bye bye.
That left 7,183 pwLC records "eligible" for this analysis. NIH excluded 6,164 of them bc those ppl with LONG COVID didn't fit their cherry-picked, "mecfs like" 11 symptoms profile.
That left 1,019 pwLC records to analyze, except 905 of these were known to be gone by year 3 before they even began any of this. Gone for reasons NIH RECOVER not shockingly (if you understand any of this) didn't disclose in this paper (except one death) because they wanted to use Kaplan-Meier on them.
The entire thing is extremely manipulated, from start to finish.
1,019 ppl with Long Covid started this study but only 114 finished it.
For all @NIH RECOVER knows, those 905 pwLC DIED FROM LONG COVID (that would = nearly 89% DEAD) but here they are publishing bullshit headlines that 50% of ppl with Long Covid "show improvement" by year three (yet they truly do not know if this is true IRL), instead.
Over 500B US Taxpayer dollars spent on this extremely manipulated nonsense (there are tons of serious issues w/this study) which very clearly serves no other purpose than to generate minimizing nonsense and propagandic headlines.
NotOstriching retweeted
In other news, researchers have discovered how the immune system works....
Now wait 5 years before people realize cov immune destruction= cancer
Strong immune system can prevent prostate cancer, Oxford study finds share.google/5X1GRRYhbLfGCoY…
NotOstriching retweeted
Here's some preliminary data from the NHL. Give it a look. What do you see?
